Lead Data Engineer & Cloud AI Architect

DAVID PAULINA

Lead Data Engineer Cloud Architect AI/ML Specialist

Washington, DC 202-***-**** *************@*****.*** LinkedIn: linkedin.com/in/david-paulina-a8b571a6 GitHub: github.com/DavidPaulina EXECUTIVE SUMMARY

Lead Data Engineer with 12+ years of experience architecting and delivering enterprise-scale data platforms, real-time pipelines, and cloud-native solutions. Deep expertise in AWS, PySpark, Snowflake, and distributed systems. Proven track record of driving business transformation through scalable data architectures, governance frameworks, and AI-enabled analytics. CORE SKILLS

Cloud & AWS: S3, EMR, Glue, Lambda, API Gateway, EC2, CloudWatch, IAM, Step Functions, Kinesis

Big Data & Streaming: Spark, PySpark, Hadoop, Hive, Kafka, Airflow, dbt Data Engineering: ETL/ELT, Data Lakes, Data Warehousing, Streaming Pipelines, Data Modeling Databases: Snowflake, PostgreSQL, MongoDB, NoSQL

Programming: Python, SQL, Scala, Java, Bash

DevOps & Infrastructure: Docker, Kubernetes, CI/CD, GitHub Actions, Jenkins, Linux Governance: Data Quality, Lineage, Security, Compliance KEY PROJECTS

Real-Time Streaming Analytics Platform

• Designed and implemented Kafka-based streaming pipelines integrated with AWS S3 and PySpark

(EMR).

• Enabled near real-time analytics and improved business responsiveness to user behavior. Enterprise Snowflake ELT Framework

• Built scalable ELT pipelines using Snowflake, AWS S3, and Glue.

• Implemented RBAC, secure views, and governed data layers for self-service analytics. Cloud Data Migration & Modernization

• Migrated legacy and Ab Initio pipelines to AWS and Snowflake.

• Redesigned schemas using dimensional modeling and optimized performance at scale. PROFESSIONAL EXPERIENCE

Lead Data Engineer – Citecht (2023–Present)

• Architected real-time pipelines using Kafka, PySpark, and AWS enabling scalable ingestion.

• Built enterprise ELT frameworks on Snowflake with governance and optimization.

• Deployed microservices on Kubernetes and implemented CI/CD automation.

• Led data governance, lineage, and compliance initiatives.

• Integrated AI/ML models into production data platforms. Senior Data Engineer – GRIOT Academy (2021–2023)

• Reduced ETL processing time by 40% through optimization.

• Migrated legacy systems to AWS and Snowflake using dimensional modeling.

• Built analytics dashboards and scalable data platforms.

• Implemented governance and data quality frameworks. ETL / Cloud Data Engineer – Trust Bank (2018–2021)

• Designed Snowflake warehouse architecture for financial analytics.

• Built secure AWS-based pipelines and automated monitoring systems.

• Ensured regulatory compliance and governance standards. Data Engineer – Citigroup (2017–2018)

• Improved ETL performance by 35% and strengthened validation processes. Technology Director – GRIOT Academy (2006–2021)

• Led technology strategy, infrastructure, and large-scale platform development.

• Managed teams, budgets, and enterprise system implementations. EDUCATION

M.S. Artificial Intelligence (In Progress) – University of Colorado Boulder B.S. Mathematics – University of the District of Columbia (UDC) CERTIFICATIONS

AWS Certified Solutions Architect – Associate

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